894 computational-physics-"https:"-"https:"-"https:"-"https:"-"L2CM" positions in Germany
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with a Master’s degree (or equivalent) in Biology, Biochemistry, Life Sciences, (Bio-)Physics, Chemistry, Computer Science, or related fields. Visit the IMPRS-LM website for more information about the
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At the Fraunhofer Institute for Applied Solid State Physics we know our technologies like the back of our hand. Because we are one of the few scientific institutions worldwide to conduct research
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Informatics. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a vibrant and international research environment? Then let’s
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The Fraunhofer Institute for Digital Medicine MEVIS is a world-leading and internationally connected research center for computer assistance in medicine. With about 140 employees, our mission is to
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: to make the world of tomorrow safer. Be part of change Implementation and application of computer vision approaches, including: object detection (e.g., using YOLO, RT-DETRv2, etc.) image classification
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 6 days ago
, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling every nuance of how humans and animals look and move. We develop
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physics, biomedical/material engineering or a related discipline. You have a strong background in data analysis and image processing. You enjoy working in interdisciplinary and international teams and have
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available in the further tabs (e.g. “Application requirements”). Objective TheMuseumsLab is a programme for joint learning, perspective exchange, networking and career building among African and European
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The Clementi's group in the Physics Department at Freie Universität Berlin seeks a postdoctoral researcher (100%) to work on the development and application of coarse-graining methodologies to study
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varied, and the results will be compared with existing experimental data. You will learn how complex thermal process are modeled and simulated, develop an understanding of computational methods in practice